GraduateData Science
Master of Data Science
RMIT University, Melbourne, VIC, Australia
About this program
RMIT's data science master's spends its first year deliberately narrow - solid computer science and statistics foundations - before opening into advanced electives and an industry or research project in year two. That sequencing is a response to a common complaint about data science master's programs elsewhere: students arriving from non-CS backgrounds (commerce, biology, social science) who get thrown into advanced machine learning units without the linear algebra or programming grounding to keep up. RMIT's structure front-loads that grounding instead.
The 192-credit-point, two-year full-time program includes a Graduate Diploma exit point at 96 credit points for students who need to leave partway through with something to show for it - a genuine safety net rather than a marketing line, since a lot of comparable programs offer no formal mid-point qualification at all. Case studies threaded through the coursework bring in practising data scientists to walk through legal, ethical and policy questions - algorithmic bias, data privacy law - alongside the purely technical content, which matters given how much scrutiny data science work now attracts.
Delivery mixes lectures, tutorials, and heavy practical lab time, with the year-two project functioning as the main portfolio piece graduates take into job interviews.
Fees & duration
English test scores
Verified rmit.edu.au ↗
Course structure
Study plan in 3 parts
- Year 1: Programming for Data Science
- Statistics for Data Science
- Database Systems
- Data Preprocessing and Wrangling
- Introduction to Machine Learning
- Data Visualisation
- Graduate Diploma exit point available at 96 credit points
- Year 2: Advanced Machine Learning
- Big Data Processing
- electives (e.g. Natural Language Processing, Deep Learning)
- Data Ethics and Policy
- capstone industry or research project
Career & PR pathway
Occupations this degree typically leads to, and their skilled-migration list status
Data ScientistANZSCO 224115
A newer ANZSCO code (added 2022) that sits on CSOL only, supporting the employer-sponsored 482 and 186. Not on MLTSSL or STSOL, so it does not currently open the points-tested 189, 190, or 491, and no state nominates this exact code.
Assessed by Australian Computer Society (ACS)
Data AnalystANZSCO 224114
Added to ANZSCO alongside Data Scientist in 2022. Sits on CSOL only, supporting the employer-sponsored 482 and 186, not the points-tested 189, 190, or 491.
Assessed by Australian Computer Society (ACS)
StatisticianANZSCO 224113
On MLTSSL, supporting the 189, 190, and 491, with a VETASSESS skills assessment.
Assessed by VETASSESS
List membership changes over time and does not guarantee an invitation. See the skilled occupation lists guide and the points calculator before relying on this for a visa decision.
Admissions
Bachelor's degree in a quantitative or IT-related discipline
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